Erik Kusch
,
PhD Student
Department
of Biology
Section for Ec
oinformatics &
Biodiversity
Center for
Biodiversi
ty Dy
namics
in a Changing World (BIOCHANGE)
Aarhus University
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
1
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
2
Binom
ial
Regression
Poisson Regressio
n
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
3
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
4
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
5
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
6
Prior predictive
checks are important!
Regula
rising
priors help our models!
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
7
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
8
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
9
Priors are meant to inform the model
, not fit the data. Identifyin
g
priors from the data is usually
a bad idea.
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
10
Add a variabl
e
to account for leng
th/size of time/distance unit.
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
11
Models informed by
scientific theory can
be (and often are) just as val
id, if not
better
, than our purely
statistic models.
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
12
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
13
19/03/2021
[Study
Group]
Bayesian
Statistics
w
ith the Rethinking
M
aterial
14